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Energy-Efficient Design of IRS-NOMA Networks

Fang, Fang; Xu, Yanqing; Pham, Quoc-Viet; Ding, Zhiguo

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Authors

Fang Fang

Yanqing Xu

Quoc-Viet Pham

Zhiguo Ding



Abstract

Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this paper, we focus on an IRS-assisted NOMA network and propose an energy-efficient algorithm to yield a good tradeoff between the sum-rate maximization and total power consumption minimization. We aim to maximize the system energy efficiency by jointly optimizing the transmit beamforming at the BS and the reflecting beamforming at the IRS. Specifically, the transmit beamforming and the phases of the low-cost passive elements on the IRS are alternatively optimized until the convergence. Simulation results demonstrate that the proposed algorithm in IRS-NOMA can yield superior performance compared with the conventional OMA-IRS and NOMA with a random phase IRS.

Citation

Fang, F., Xu, Y., Pham, Q., & Ding, Z. (2020). Energy-Efficient Design of IRS-NOMA Networks. IEEE Transactions on Vehicular Technology, 69(11), 14088-14092. https://doi.org/10.1109/tvt.2020.3024005

Journal Article Type Article
Acceptance Date Sep 9, 2020
Online Publication Date Sep 15, 2020
Publication Date 2020-11
Deposit Date Sep 13, 2020
Publicly Available Date Nov 27, 2020
Journal IEEE Transactions on Vehicular Technology
Print ISSN 0018-9545
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 69
Issue 11
Pages 14088-14092
DOI https://doi.org/10.1109/tvt.2020.3024005

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